ML, Recommandation engine, and so on.

 

  • recommendation engine
  • dimensionality reduction
    • topic modeling
    • feature similarity
    • types of link
    • multitude of relationships

 

 

  • current recommendation engine
    • inside as black box. naive approach based on correlation of user and user, user and items.
  • new approach
    • using deep semantics of relationship of items and users.
    • collect catalog of existing reviews
    • build network where node is item and relationship
      • substitute network: wine glass type A –> wine glass type B
      • complimentary network: wine glass –> wine refrigerator
Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s